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2015124Literature review on data mining research are two stages namely selection and transformation Data selection means selecting data which are useful for the data mining purpose It is done by selecting required attributes from the database by performing a query Data transformation or data expression is the process of converting the raw data into.
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Educational Data Mining A Literature Review This study also looks into the recent applications of Big Data technologies in education and presents a literature review on Educational Data .
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Opinion mining and analysis A literature review Abstract Sentiment analysis or opinion mining consist of many different fields like natural language processing text mining decision making and linguistics It is a type of text analysis that classifies the text and makes decision by extracting and analyzing the text.
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2017818Association rules are used to identify customer preferences and customer behavior Conclusion Association rules mining are a popular and well researched method for discovering strong associations between variables in large databases In this paper we have describe Association rules mining which is the important task of data mining.
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2018731CURRENT LITERATURE REVIEW WEB MINING 1KDharmarajanScholar 2DrMADorairangaswamy 1Research and Development Centre 2Dean CSE 1Bharathiar University Coimbatore 641 046 India 2AVIT Chennai India 1dharmak07gmailcom 2drdorairsyahoocoin Abstract This study presents the role of Web mining an explosive growth of the World Wide Web .
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Mining forest change and conflict in the Kivus Institute for overcome this problem and review the impact of mining and conflict on forest cover An extensive literature study was carried out to gather nonspatial Illegal mining of coltan cassiterite tin ore and gold is taking place through a large More details Get Price.
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2017531Literature Review and Challenges of Data Mining Techniques for Social 1341 and William Claster stated that Artificial Neural Network ANN is an area of extensive research ANN architecture in creating a SelfOrganizing Map SOM to cluster all the textual conversational topics being shared through thousands of.
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201938review of applications of text mining for market prediction which focuses mainly to online sentiment analysis using social media and news texts and their utilization for prediction of FOREX market and stock exchange markets Kumar and Ravi 2016 21 conducted a literature review of text mining applications in nance.
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201177This literature review assembles reviews and assesses information related to suction dredge mining and its potential effects on the environment The goal of the review is to develop a better understanding of the existing body of knowledge associated with the.
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2016721mining operations the technological attractiveness of different renewable and current sources the most 1 Journal of Energy in Southern Africa Vol 27 No 2 May 2016 A literature review on the potential of renewable electricity sources for mining operations in South Africa Roman Gnter Vottelera Alan Colin Brentb a.
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The This review of literature focuses on how data mining support count shows the frequency of the patterns in the techniques are used for different application areas for rule it is the percentage of transactions that contain both A finding out meaningful pattern from the database.
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201938review of applications of text mining for market prediction which focuses mainly to online sentiment analysis using social media and news texts and their utilization for prediction of FOREX market and stock exchange markets Kumar and Ravi 2016 21 conducted a literature review of text mining applications in nance.
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Kumar and Ravi 2016 conducted a literature review of text mining applications in finance They surveyed papers published from 2000 to 2016 and developed the following groups of text mining applications FOREX and stock market forecasts customer relationship management applications as well as security applications focusing to cybersecurity.
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Abstract Mining association rules is an essential job for information discovery Past transaction data can be analyzed to discover client behaviors such that the superiority of business decision can be improved The approach of mining association rules focuses on discovering large item sets which are groups of items that come into view together in a .
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2018722 LITERATURE REVIEW 21 Introduction Technology is the key to higher production productivity and safety which depends on the mining operations prevailing in the country A combination of conventional and modern technology to suit the indigenous condition and .
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For example an organization can find out customer behaviour from the data collected The far reach of data mining extends to Artificial intelligence business education scientific fields machine learning etc In this literature review a discussion of the basic concepts applications and the challenges in data mining .
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2016119Smart Computing Review vol 4 no 3 June 2014 213 of training State of Art Many feature selection methods have been proposed in the literature and .
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In research you try to find out an answer to a question or to resolve a controversy For this purpose you coin a question and come up with a hypothesis Before you can proceed to devise an experiment so that you can test your hypothesis and fi.
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The This review of literature focuses on how data mining support count shows the frequency of the patterns in the techniques are used for different application areas for rule it is the percentage of transactions that contain both A finding out meaningful pattern from the database.
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Abstract Mining association rules is an essential job for information discovery Past transaction data can be analyzed to discover client behaviors such that the superiority of business decision can be improved The approach of mining association rules focuses on discovering large item sets which are groups of items that come into view together in a .
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201831we survey the main data mining functions from knowledge view and technology view including classification clustering association analysis and outlier analysis and introduce which techniques can support these functions In Section3we review the data mining applications in ecommerce industry health care and public service and.
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Chapter 2 Literature Review 21 Data Mining The amount of data continues to grow at an enormous rate even though the data stores are already vast The primary challenge is how to make the database a competitive business advantage by converting seemingly meaningless data into useful information.
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2012412Research in biomedical text mining is starting to produce technology which can make information in biomedical literature more accessible for bioscientists One of the current challenges is to integrate and refine this technology to support reallife scientific tasks in biomedicine and to evaluate its usefulness in the context of such tasks.
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2016125Literature Review on Web Usage Mining Web mining helps the web designers in discovering the knowledge from the information available in the web Also it helps the users in getting the fast retrieval of the information they are looking for Three major areas of web mining are.
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201484IIILITERATURE REVIEW This section consists of the reviews of various technical and review articles on data mining techniques applied to predict Kidney Disease DSVGK Kaladhar Krishna Apparao Rayavarapu and Varahalarao Vadlapudi et al 6 described in their research to understand machine learning techniques to predict kidney stones.
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Abstract In the information era enormous amounts of data have become available on hand to decision makers Big data refers to datasets that are not only big but also high in variety and velocity which makes them difficult to handle using traditional tools and techniques.
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2016423Process Mining in Healthcare A literature review Eric Rojasa Jorge MunozGamaa Marcos Seplvedaa Dr Daniel Capurrob aComputer Science DepartmentSchool of Engineering Ponticia Universidad Catlica de Chile bInternal Medicine DepartmentSchool of Medicine.
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Literature Review of Data Mining Applications in Academic Libraries Lorena SiguenzaGuzmanab Victor Saquicelaa Elina AvilaOrdezab Joos Vandewalle cDirkCattrysseb a Department of Computer Science University of Cuenca 12 de Abril Av ECU010150 Cuenca Ecuador b Centre for Industrial Management Trafc Infrastructure KU Leuven Celestijnenlaan 300 Box 2422 BE3001 Leuven .
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2012412Research in biomedical text mining is starting to produce technology which can make information in biomedical literature more accessible for bioscientists One of the current challenges is to integrate and refine this technology to support reallife scientific tasks in biomedicine and to evaluate its usefulness in the context of such tasks.
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Chapter 2 Literature Review 21 Data Mining The amount of data continues to grow at an enormous rate even though the data stores are already vast The primary challenge is how to make the database a competitive business advantage by converting seemingly meaningless data into useful information.
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